haoyifan add notes

AAAI2021/paper.tex

@@ -177,18 +177,18 @@
  The emergence of symbolic languages with high compositionality has
   attracted extensive attention from a broad range of communities. Existing
   studies achieve high compositionality through \emph{deliberately handcrafted}
-  inductions (e.g., small vocabulary sizes, carefully constructed distractors, 
-  and ease-of-teaching) in multi-agent learning, which are unnatural. 
+  inductions (e.g., small vocabulary sizes, addtional rewards, constructed 
+  loss functions and ease-of-teaching) in multi-agent learning, which are unnatural. 
   Yet, few studies investigate the emergence of symbolic language with high
   compositionality \emph{naturally}, i.e., without deliberately handcrafted
   inductions. 
   
-  In this paper, we are the first to successfully achieve high compositional symbolic
-  language in a \emph{natural} manner without handcrafted inductions.
+  In this paper, \note{we are the first to successfully achieve high compositional
+  symbolic language} in a \emph{natural} manner without handcrafted inductions.
   Initially, by investigating the compositionality of emerged symbolic
   language after removing the \emph{deliberately handcrafted}
   inductions, we observe that the agent capacity plays a key role in
-  compositionality. We further reveal and characterize the quantitative relationship
+  compositionality. We further reveal and characterize the \note{quantitative relationship}
   between the agent capacity and the compositionality of symbolic language, with
   a novel mutual information-based metric for the compositionality. 
   % both theoretically and experimentally.